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Ensemble Variable Selection for Naive Bayes to Improve Customer Behaviour Analysis

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Computer Systems Science & Engineering 2022年第4期41卷 339-355页

作者： r.siva Subramanian D.Prabha Anna University Chennai600025India Department of Computer Science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India

Executing customer analysis in a systemic way is one of the possible solutions for each enterprise to understand the behavior of consumer patterns in an efﬁcient and in-depth manner.Further investigation of customer patterns helps theﬁrm to develop efﬁcient decisions and in turn,helps to optimize the enter-prise’s business and maximizes consumer satisfaction correspondingly.To con-duct an effective assessment about the customers,Naive Bayes(also called Simple Bayes),a machine learning model is utilized.However,the efﬁcacious of the simple Bayes model is utterly relying on the consumer data used,and the existence of uncertain and redundant attributes in the consumer data enables the simple Bayes model to attain the worst prediction in consumer data because of its presumption regarding the attributes applied.However,in practice,the NB pre-mise is not true in consumer data,and the analysis of these redundant attributes enables simple Bayes model to get poor prediction results.In this work,an ensem-ble attribute selection methodology is performed to overcome the problem with consumer data and to pick a steady uncorrelated attribute set to model with the NB classiﬁer.In ensemble variable selection,two different strategies are applied:one is based upon data perturbation(or homogeneous ensemble,same feature selector is applied to a different subsamples derived from the same learning set)and the other one is based upon function perturbation(or heterogeneous ensemble different feature selector is utilized to the same learning set).Further-more,the feature set captured from both ensemble strategies is applied to NB indi-vidually and the outcome obtained is computed.Finally,the experimental outcomes show that the proposed ensemble strategies perform efﬁciently in choosing a steady attribute set and increasing NB classiﬁcation performance efﬁciently.

关键词： Naive bayes or simple bayes variable selection homogeneous ensemble heterogeneous ensemble customer prediction

User Centric Block-Level Attribute Based Encryption in Cloud Using Blockchains

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Computer Systems Science & Engineering 2022年第8期42卷 605-618页

作者： S.Godfrey Winster A.siva Kumar r.ramesh Department of Computer Science and Engineering School of ComputingCollege of Engineering and TechnologySRM Institute of Science and TechnologyChengalpattu603203India Department of Information Technology Sri Sai Ram Engineering CollegeChennai600044India Department of Electronics and Communication Engineering Saveetha Engineering CollegeChennai602105India

Cloud computing is a collection of distributed storage Network which can provide various services and store the data in the efficient manner.The advantages of cloud computing is its remote access where data can accessed in real time using remote Method Innovation(rMI).The problem of data security in cloud environment is a major concern since the data can be accessed by any time by any user.Due to the lack of providing the efficient security the cloud computing they fail to achieve higher performance in providing the efficient service.To improve the performance in data security,the block chains are used for securing the data in the cloud environment.However,the traditional block chain technique are not suitable to provide efficient security to the cloud data stored in the cloud.In this paper,an efficient user centric block level Attribute Based Encryption(UCBL-ABE)scheme is presented to provide the efficient security of cloud data in cloud environment.The proposed approach performs data transaction by employing the block chain.The proposed system provides efficient privacy with access control to the user access according to the behavior of cloud user using Data Level Access Trust(DLAT).Based on DLAT,the user access has been restricted in the cloud environment.The proposed protocol is implemented in real time using Java programming language and uses IBM cloud.The implementation results justifies that the proposed system can able to provide efficient security to the data present in and cloud and also enhances the cloud performance.

关键词： Cloud blockchain data security ABE block-level

Purcell's Swimmer revisited

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International Journal of Automation and computing 2012年第3期9卷 325-330页

作者： M. siva Kumar P. Philominathan Faculty Oman Dental College P.O. Box 835 Postal Code 116 Sultanate of Oman research and PG Department of Physics AVVM Sri Pushpam College

Purcell’s swimmer was proposed by E. M. Purcell to explain bacterial swimming motions. It has been proved experimentally that a swimmer of this kind is possible under inertial-less and high viscous environment. But we could not investigate all the aspects of this mechanism through experiments due to practical difficulties. The computational fluid dynamics (CFD) provides complementary methods to experimental fluid dynamics. In particular, these methods offer the means of testing theoretical advances for conditions unavailable experimentally. Using such methodology, we have investigated the fluid dynamics of force production associated with the Purcell’s swimmer. By employing dynamic mesh and user-defined functions, we have computed the transient flow around the swimmer for various stroke angles. Our simulations capture the bidirectional swimming property successfully and are in agreement with existing theoretical and experimental results. To our knowledge, this is the first CFD study which shows the fact that swimming direction depends on stroke angle. We also prove that for small flapping frequencies, swimming direction can also be altered by changing frequency-showing breakdown of Stokes law with inertia.

关键词： Very low reynolds number flow swimming motion of bacteria dynamic mesh Purcell’s swimmer Stokes flow

Evaluating system of rice intensification using a modified transplanter:A smart farming solution toward sustainability of paddy fields in Malaysia

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International Journal of Agricultural and Biological Engineering 2019年第2期12卷 54-67页

作者： redmond r.Shamshiri Bala Ibrahim siva K.Balasundram Sima Taheri Cornelia Weltzien Leibniz Institute for Agricultural Engineering and Bioeconomy Max-Eyth-Allee 10014469 Potsdam-BornimGermany Smart Farming Technology research Center Department of Agricultural and Biological EnginieeringUniversiti Putra Malaysia Department of Agriculture Technology Faculty of AgricultureUniversiti Putra Malaysia43400SerdangSelangorMalaysia Centre of research in Biotechnology for Agriculture(CEBAr) University of Malaya50603Kuala LumpurMalaysia Agromechatronics Institute of Machine Design and SystemsTechnische Universitaet BerlinGermany

This paper presents the study reports on evaluating a new transplanting operation by taking into accounts the interactions between soil,plant,and machine in line with the System of rice Intensification(sri)practices.The objective was to modify planting claw(kuku-kambing)of a paddy transplanter in compliance with sri guidelines to determine the best planting spacing(S),seed rate(G)and planting pattern that results in a maximum number of seedling,tillers per hill,and yield.Two separate experiments were carried out in two different paddy fields,one to determine the best planting spacing(S=4 levels:s_(1)=0.16 m×0.3 m,s_(2)=0.18 m×0.3 m,s_(3)=0.21 m×0.3 m,and s_(4)=0.24 m×0.3 m)for a specific planting pattern(row mat or scattered planting pattern),and the other to determine the best combination of spacing with seed rate treatments(G=2 levels:g1=75 g/tray,and g2=240 g/tray).Main sri management practices such as soil characteristics of the sites,planting depth,missing hill,hill population,the number of seedling per hill,and yield components were evaluated.results of two-way analysis of variance with three replications showed that spacing,planting pattern and seed rate affected the number of one-seedling in all experiment.It was also observed that the increase in spacing resulted in more tillers and more panicle per plant,however hill population and sterility ratio increased with the decrease in spacing.While the maximum number of panicles were resulted from scattered planting at s_(4)=0.24 m×0.3 m spacing with the seed rate of g1=75 g/tray,the maximum number of one seedling were observed at s_(4)=0.16 m×0.3 m.The highest and lowest yields were obtained from 75 g seeds per tray scattered and 70 g seeds per tray scattered treatment respectively.For all treatments,the result clearly indicates an increase in yield with an increase in spacing.

关键词： system of rice intensification sustainable cultivation smart farming modified transplanter paddy fields Malaysia

Volumetric, Ultrasonic and Transport Properties of Binary Liquid Mixtures Containing Dimethyl Formamide at 303.15 K

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Chinese Journal of Chemistry 2007年第1期25卷 32-43页

作者： SYAMALA, Vardhana rAJA SEKHAr, Damaramadugu siva KUMAr, Kasibhatta VENKATESWArLU, Ponneri Thermochemical Laboratories Department of Chemistry Sri Venkateswara University Tirupati 517 502 India Department of Chemistry SVArts College Tirupati 517 502 India

Excess volumes （v^E）, ultrasonic velocities （u）, isentropic compressibility （△Ks） and viscosities （η） for the binary mixtures of dimethyl formamide （DMF） with 1,2-dichlorobenzene, 1,3-dichlorobenzene, 1,2,4-trichlorobenzene, o-chlorotoluene, m-chlorotoluene, p-chlorotoluene, o-nitrotoluene and m-nitrotoluene at 303.15 K were studied. Excess volume data exhibit an inversion in sign for the mixtures of dimethyl formamide with 1,2- and 1,3-dichlorobenzenes and the property is completely positive over the entire composition range for the mixtures of dimethyl formamide with 1,2,4-trichlorobenzene, o-nitrotoluene and m-nitrotoluene. On the other hand, the quantity is negative for the mixtures of dimethyl formamide with chlorotoluenes. Isentropic compressibility （Ks） has been computed for the same systems from precise sound velocity and density data. Further, deviation of isentropic com- pressibility （△Ks） from ideal behavior was also calculated. AKs values are negative over the entire volume fraction range in all the binary mixtures. The experimental sound velocity data were analysed in terms of Free Length Theory （FLT） and Collision Factor Theory （CFT）. The viscosity data were analysed on the basis of corresponding state approach. The measured data were discussed on the basis of intermolecular interactions between unlike molecules.

关键词： excess volume, dimethyl formamide, interferometer, sound velocity, viscosity molecular interaction

Microwave synthesis and spectroscopic characterization of manganese oxalate nanocrystals

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Particuology 2013年第3期11卷 340-345页

作者： S.Lakshmi reddy G.Udayabashkar reddy r.ramasubba reddy G.siva reddy ray L.Frostc Tamio Endo Department of Physics Sri Venkateswara Degree College Department of Chemistry Sri Venkateswara University School of Chemistry Physics and Mechanical EngineeringScience and Engineering FacultyQueensland University of Technology Faculty of Engineering Mie University

The microwave synthesis of MnC204.2H2O nanoparticles was performed through the thermal double decomposition of oxalic acid dihydrate （C2H204.2H20） and Mn（OAc）2.4H2O solutions using a CATA-2r microwave reactor. Structural characterization was performed using X-ray diffraction （XrD）, particle size and shape were analyzed using transmission electron microscopy （TEM）. The chemical in the structures was investigated using electron paramagnetic resonance （EPr） as well as optical absorption spectra and near-infrared （NIr） spectroscopies. The nanocrystals produced with this method were pure and had a distorted rhombic octahedral structure.Manganese oxalate

关键词： Lindbergite Electron paramagnetic resonance Optical absorption and NIr spectra Mn（ll） Water fundamentals

Synthesis, antibacterial and anti-inflammatory activity of bis(indolyl)methanes

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Chinese Chemical Letters 2016年第1期27卷 16-20页

作者： Santhisudha Sarva Jayaprakash Soora Harinath siva Prasad Sthanikam Selvarajan Ethiraj Mohanasrinivasan Vaithiyalingam Suresh reddy Cirandur Department of Chemistry Sri Venkateswara University School of Biosciences and Technology VIT University

A series of bioactive bis（indolyl）methanes are synthesized by one-pot green reaction of indole with various substituted aldehydes by microwave irradiation under solvent free conditions. The antibacterial activity against Staphylococcus aureus and anti-inflammatory activity of the synthesized bis（indolyl）-methanes are evaluated in vitro and compared to standard drugs tetracycline and diclofenac,respectively. The majority of the compounds showed good antibacterial and anti-inflammatory activity.Interestingly, compounds 3j, 3i, 3k and 3g exhibited much higher anti-inflammatory activity than the standard diclofenac drug and thus qualify for clinical trials to be used as an anti-inflammatory compound.

关键词： Bis（indolyl）methanes Microwave irradiation Antibacterial activity Anti-inflammatory activity

Mechanical properties of Ni_(0.83)Co_(0.15)Cu_(0.02)Fe_(1.9)O_(4-δ)+PbZr_(0.52)Ti_(0.48)O_(3)particulate composites by composite oscillator technique and the correlation with the results of magnetoelectric properties

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Journal of Advanced Ceramics 2012年第4期1卷 317-326页

作者： M.Venkata rAMANA M.Penchal rEDDY N.ramamanohar rEDDY B.S.MUrTY K.V.siva KUMAr Shenhua SONG Shenzhen Key Laboratory of Advanced Materials Department of Materials Science and EngineeringShenzhen Graduate SchoolHarbin Institute of TechnologyShenzhen 518055China Department of Physics Changwon National UniversityChangwonRepublic of Korea Ceramic Composite Materials Laboratory Department of PhysicsSri Krishnadevaraya UniversityAnantapur 515003India Nanotechnology Laboratory Department of Metallurgical and Materials EngineeringIndian Institute of TechnologyChennai 600036India

The xNi_(0.83)Co_(0.15)Cu_(0.02)Fe_(1.9)O_(4-δ)+PbZr_(0.52)Ti_(0.48)O_(3)(PZT)particulate magneto ferroelectric composites with x=0,0.1,0.2,0.3,0.4,0.5 and 0.6 mole fraction were prepared by conventional ceramic double sintering method.The presence of two phases(perovskite structure of ferroelectric phase and spinal structure of ferromagnetic phase)was confirmed by X-ray diffraction.The magnetoelectric(ME)property of the particulate composites was determined at room temperature as a function of intensity of magnetic field.The temperature variation of the longitudinal modulus(L)and the internal friction(Q−1)of these particulate composites at 104.3 kHz was studied in the wide temperature range 30-420℃.The temperature variation of the longitudinal modulus in each composition of these particulate composites showed two abrupt minima.One minimum coincided with the ferroelectric-paraelectric Curie transition temperature(θE)and the other with the ferromagnetic-paramagnetic Curie transition temperature(θM).The internal friction measurement also showed two sharp peaks in each composition corresponding to those temperatures where the minima were noticed in the temperature variation of the longitudinal modulus behaviour.

关键词： X-ray diffraction magnetoelectric effect piezoelectric coefficient internal friction Curie transition temperature

Non-Intrusive Context Aware Transactional Framework to Derive Business Insights on Big Data

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Journal of Signal and Information Processing 2015年第2期6卷 73-78页

作者： siva Chidambaram P. E. rubini V. Sellam Department of Computer Science Engineering Sri Muthukumaran Institute of Technology Chennai India Department of Computer Science Engineering SRM University Chennai India

To convert invisible, unstructured and time-sensitive machine data into information for decision making is a challenge. Tools available today handle only structured data. All the transaction data are getting captured without understanding its future relevance and usage. It leads to other big data analytics related issue in storing, archiving, processing, not bringing in relevant business insights to the business user. In this paper, we are proposing a context aware pattern methodology to filter relevant transaction data based on the preference of business.

关键词： Context Aware Pattern recognizer Big Data